Classification of distant targets situated near channel bottoms
Journal Article (Journal Article)
Identification algorithms are considered for a class of targets situated near the bottom of a water channel. It is assumed that the target-sensor distance relative to the channel depth is such that a ray-based representation of the scattered fields is appropriate (vis-à-vis a modal representation). Two approaches are considered for processing the scattered fields. In one algorithm a deconvolution is performed to remove the channel response, and thereby recover the free-field target scattered signature. In this case the classifier is trained based on free-field data. In the second approach the array receiver is employed to point the sensor in particular directions, and the beam-formed signal is used directly in the subsequent classifier. In this case the classifier must be trained based on. in-channel data. Multiple scattered signals are measured, from a sequence of target-sensor orientations, with the waveforms classified via a hidden Markov model. Example results are presented for scattering data simulated via the finite-element method and coupled to a normal-mode waveguide modal, for elastic targets situated in a water channel. © 2004 Acoustical Society of America.
Full Text
Duke Authors
Cited Authors
- Liu, H; Runkle, P; Carin, L; Yoder, T; Giddings, T; Couchman, L; Bucaro, J
Published Date
- March 1, 2004
Published In
Volume / Issue
- 115 / 3
Start / End Page
- 1185 - 1197
International Standard Serial Number (ISSN)
- 0001-4966
Digital Object Identifier (DOI)
- 10.1121/1.1643363
Citation Source
- Scopus